Estimating the region of attraction using polynomial optimization: A converse Lyapunov result. - Morgan Jones; Hesameddin Mohammadi; Matthew M. Peet (CDC, 2017)

Combining SOS with Branch and Bound to Isolate Global Solutions of Polynomial Optimization Problems. - Brendon K. Colbert; Hesameddin Mohammadi; Matthew M. Peet (ACC, 2018)

On the stability of gradient flow dynamics for a rank-one matrix approximation problem. - Hesameddin Mohammadi; Meisam Razaviyayn; Mihailo R. Jovanovic (ACC, 2018)

Variance Amplification of Accelerated First-Order Algorithms for Strongly Convex Quadratic Optimization Problems. - Hesameddin Mohammadi; Meisam Razaviyayn; Mihailo R. Jovanovic (CDC, 2018)

Performance of noisy Nesterov's accelerated method for strongly convex optimization problems. - Hesameddin Mohammadi; Meisam Razaviyayn; Mihailo R. Jovanovic (ACC, 2019)

Global exponential convergence of gradient methods over the nonconvex landscape of the linear quadratic regulator. - Hesameddin Mohammadi; Armin Zare; Mahdi Soltanolkotabi; Mihailo R. Jovanovic (CDC, 2019)

Random search for learning the linear quadratic regulator. - Hesameddin Mohammadi; Mahdi Soltanolkotabi; Mihailo R. Jovanovic (ACC, 2020)

Transient growth of accelerated first-order methods. - Samantha Samuelson; Hesameddin Mohammadi; Mihailo R. Jovanovic (ACC, 2020)

On the transient growth of Nesterov's accelerated method for strongly convex optimization problems. - Samantha Samuelson; Hesameddin Mohammadi; Mihailo R. Jovanovic (CDC, 2020)

Learning the model-free linear quadratic regulator via random search. - Hesameddin Mohammadi; Mihailo R. Jovanovic; Mahdi Soltanolkotabi (L4DC, 2020)

Proximal Algorithms for Large-Scale Statistical Modeling and Sensor/Actuator Selection. - Armin Zare; Hesameddin Mohammadi; Neil K. Dhingra; Tryphon T. Georgiou; Mihailo R. Jovanovic (IEEE Trans. Autom. Control., 2020)

On the lack of gradient domination for linear quadratic Gaussian problems with incomplete state information. - Hesameddin Mohammadi; Mahdi Soltanolkotabi; Mihailo R. Jovanovic (CDC, 2021)

Transient growth of accelerated first-order methods for strongly convex optimization problems. - Hesameddin Mohammadi; Samantha Samuelson; Mihailo R. Jovanovic (CoRR, 2021)

On the Linear Convergence of Random Search for Discrete-Time LQR. - Hesameddin Mohammadi; Mahdi Soltanolkotabi; Mihailo R. Jovanovic (IEEE Control. Syst. Lett., 2021)

Robustness of Accelerated First-Order Algorithms for Strongly Convex Optimization Problems. - Hesameddin Mohammadi; Meisam Razaviyayn; Mihailo R. Jovanovic (IEEE Trans. Autom. Control., 2021)

On the noise amplification of primal-dual gradient flow dynamics based on proximal augmented Lagrangian. - Hesameddin Mohammadi; Mihailo R. Jovanovic (ACC, 2022)

Convergence and Sample Complexity of Gradient Methods for the Model-Free Linear-Quadratic Regulator Problem. - Hesameddin Mohammadi; Armin Zare; Mahdi Soltanolkotabi; Mihailo R. Jovanovic (IEEE Trans. Autom. Control., 2022)

Noise amplifiation of momentum-based optimization algorithms. - Hesameddin Mohammadi; Meisam Razaviyayn; Mihailo R. Jovanovic (ACC, 2023)

Performance of noisy higher-order accelerated gradient flow dynamics for strongly convex quadratic optimization problems. - Samantha Samuelson; Hesameddin Mohammadi; Mihailo R. Jovanovic (ACC, 2023)

Performance of Noisy Three-Step Accelerated First-Order Optimization Algorithms for Strongly Convex Quadratic Problems. - Samantha Samuelson; Hesameddin Mohammadi; Mihailo R. Jovanovic (CDC, 2023)

Computing Stabilizing Feedback Gains via a Model-Free Policy Gradient Method. - Ibrahim Kurban Özaslan; Hesameddin Mohammadi; Mihailo R. Jovanovic (IEEE Control. Syst. Lett., 2023)

Transient Growth of Accelerated Optimization Algorithms. - Hesameddin Mohammadi; Samantha Samuelson; Mihailo R. Jovanovic (IEEE Trans. Autom. Control., 2023)

Stability properties of gradient flow dynamics for the symmetric low-rank matrix factorization problem. - Hesameddin Mohammadi; Mohammad Tinati; Stephen Tu; Mahdi Soltanolkotabi; Mihailo R. Jovanovic (CoRR, 2024)

On the stability properties of gradient flow dynamics for a symmetric low-rank matrix factorization problem. - Hesameddin Mohammadi; Mahdi Soltanolkotabi; Mihailo R. Jovanovic (ACC, 2025)

Tradeoffs Between Convergence Rate and Noise Amplification for Momentum-Based Accelerated Optimization Algorithms. - Hesameddin Mohammadi; Meisam Razaviyayn; Mihailo R. Jovanovic (IEEE Trans. Autom. Control., 2025)